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פרופ' אבי רוזנפלד

פרופ' אבי רוזנפלד

פרופ' אבי רוזנפלד

מאמרים ופרסומים

  • My research generally focuses on data science and artificial intelligence research, and specifically how to reason through machine learning and data mining algorithms to build more accurate models. My research has created theoretical and practical applications for problems such as data science algorithms, robotic coordination, peer to peer full-text search, human-computer interactions, scheduling and constraint satisfaction and optimization, communication protocols, scalability issues and medical data analysis.

  • Bar Ilan University, Ramat Gan, Israel

    PhD Topic: Dynamic Coordination Methods in Distributed Systems

    Graduation Date: June 2007

    Advisors: Prof. Sarit Kraus and Prof. Gal Kaminka

    Azrieli Graduate School of Education, New York, New York

                M.S. in Secondary Education, May 1997

    Yeshiva University, New York, New York

    B.A. in Mathematics and Computer Science, Cum Laude Graduate, May 1994

  • Jerusalem College of Technology                                                       

    Associate Professor (Professor Chaver-Tenured)                                    Jerusalem, Israel, 2006 to present

    • Head of the Honors Research program (Tochnit Mitztaynim) helping guide other researchers and honors students in their research projects.
    • Headed (Rakaz) the Information Systems courses within the Industrial Engineering and Accounting Departments, responsible for updating and redesigning the curriculum of courses within both majors.
    • Created an advance Information Systems Track within the Industrial Engineering Department.
    • Developed and taught the following courses:
    1. Introduction to Information Systems course introducing networking and database concepts.
    2. Introduction to Programming introducing object oriented programming and algorithm design.
    3. Data Structures and Algorithms course including basic stack, queue, linked list and sorting and searching algorithms.
    4. Introduction to Systems Analysis course introducing basic concepts of proper software lifecycle issues with the focus on documenting and developing the system requirements.
    5. Advanced Systems Analysis course presenting advanced tools including data modeling through extensive use of class diagrams and UML.
    6. Introduction to Artificial Intelligence and Business Intelligence course including basic A.I. theory and practice as well as business applications (BI).
    7. ERP laboratory course stressing practical and theoretical issues surrounding ERP / CRM software.
    8. Data Mining course presenting supervised and unsupervised algorithms, with applications from e-commerce (associative learning) and information retrieval.
    9. Senior Research advisor for students’ fourth year undergraduate final projects.

     

     

     

     

    University of College London (UCL)                                                  London, UK, 2016-present

    Honorary Associate Professor

    • Participated in projects involving using Data Mining methods for early detection of Cancer
    • Assisted in the submission of Joint Research Grants within the Cancer Centre and Department of Tissue and Energy

     

    Ben Gurion University

    Adjunct Professor (Visiting Professor Chaver)                                       Beer Sheva, Israel, 2016 to 2017

    • Taught Text Mining course within the Department of Information Systems and Software Engineering.

     

    Sy Syms School of Business, Yeshiva University                                                                                

    Senior Lecturer                                                                                          New York, NY, 1999 to 2002

    • Created a self-contained teaching lab, equipped with tri-boot computers (Windows 2000, Windows NT, and Red Hat Linux 7.0) and print server in additional to installing and supporting various software packages.
    • Member of Advisory Board responsible for updating and redesigning the curriculum of Sy Syms’ Information Systems major.
    • Developed and taught the following curricula:
    1. Systems Security course dealing with the theoretical and practical issues surrounding securing small to enterprise level networks.
    2. Programming for Business course introducing object oriented programming and algorithm design.
    3. Advanced C++ for Business course stressing development of C++ data structures (arrays, trees, queues, and linked lists) and the analysis of algorithms.
    4. Intermediate Java course dealing with advanced object oriented programming concepts including inheritance and polymorphism in addition to teaching AWT and Swing syntax.
    5. Systems Administration course covering the theoretical and practical issues surrounding network management of Windows 2000 servers.
    6. Business Operating Systems course discussing commonality between Unix and Windows based methods of user management, backups, security, and resource management.

     

    Courant Institute, New York University                                                                                                           

    Adjunct Professor                                                                                             New York, NY, Fall 2001

    • Taught programming course in C, introducing 50 students the fundamentals of computer science and programming.

  • Bar-Ilan Research and Development Company                                           

    Project Leader                                                                                      Ramat Gan, Israel, 2008 to 2015

    • Acted as project head within a two-year grant with Elbit Systems, designing and implementing machine learning algorithms for use in a joint human-computer realistic simulator.
    • Aided in writing and reviewing technical grants for Bar Ilan University.

     

    Bar Ilan University, University of Maryland                                                                         

    Researcher / Teacher Assistant                          Ramat Gan, Israel / College Park Maryland, 2002 to 2014

    • Research applications in the field of Artificial Intelligence for dynamically coordinating actions in peer-to-peer networks, optimization problems, and robotic groups.
    • Teacher’s Assistant for Data Structures for Engineers course.

     

    Greentrak Financial Services

    Systems Administrator                                                                          New Rochelle, NY, 2000 to 2001

    • Managed active network with over 50 users, creating and maintaining VPN (NAI’s Gauntlet), RAS, Printer servers, NAI’s Gauntlet Firewall Security, 4 NT 4.0 file servers, Exchange 5.5 mail server, and IIS 4.0 web server.
    • Created secure VPN connection using IPSEC and Nortel’s Contivity 1500 series network appliances.
    • Assisted in troubleshooting the network connectivity of the company’s file and print servers, effectively improving network performance by 20 percent.

     

    Torah Academy of Bergen County                                                                                    

    Technology Coordinator                                                                                   Teaneck, NJ, 1997 to 2000

    • Designed and implemented the school office and lab networks servicing over 250 students and staff members complete with 2 NT file servers, 2 print servers, and high speed Internet connectivity (ISDN).
    • Planned and implemented new computer literacy curriculum, focusing on computer projects integrated with other school studies.
    • Developed and taught the following curricula:
    • Advanced Placement computer science course (C++ programming), stressing computer theory and program implementation.
    • Computer literacy courses, covering Microsoft Office 2000, web page design, and basic programming skills.

  • Patents:

    Since Last Promotion:

    1. Detection of Cancer of the Esophagus (International number: WO 2017/137427 Al). Inventors: L. Lovat, D. Graham, R. Hamoudi, Rosenfeld, S. Khan.
    2. Discovery and validation of a novel fluid biomarker for the diagnosis and risk stratification of prostate cancer (Under Review). Inventors L. Carmona, T. Johnson, Rosenfeld, M. Eldridge, S. Vowler, A. George, M. Corcoran, J. Burge, S. Stearn, C. Massie, D. Neal, S. Heavey, H. Pye, H. Ahmed, M. Emberton, H. Whitaker.

    Before Last Promotion:

    1. Searching in Peer-to-Peer Networks (U.S. patent # US20080195597A1). Inventors: Rosenfeld, C. Goldman, G. Kaminka and S. Kraus.

     

    Grants:

    Since Last Promotion:

    1. Charles Wolfson Charitable Trust: “A low cost screening tool to replace endoscopy in patients with persistent heartburn”, 2016-2018, £348,095.
    2. EPSRC Instructional Sponsoring Activities: “Evaluating Smart Charging Mechanisms for Electric Vehicles”, 2016-2017, £9,700 (Principle Investigator).
    3. EPSRC Orchid Project (http://www.orchid.ac.uk/), £4,000, 2013-2015.

    Before Last Promotion:

    1. Israeli Ministry of Trade, MAGNETON, Cooperative training: "Man-Machine", 2009-2011, $244,000.
    2. Schupf Foundation Graduate Fellowship Program for Leadership, $10,000, 2005-2006.
    3. Young Scientists Immigrant Award, State of Israel, 100,000 ILS, 2003-2007.

     

    Awards

    Since Last Promotion:

    1. Rector’s Prize for Researcher of the Year (Hoker Mitztayen) of the Jerusalem College of Technology (Machon Lev), 2017
    2. Best Poster Presentation in the Education & Training Category for paper, Machine Learning Creates a Simple Endoscopic Classification System that Improves Dysplasia Detection in Barrett’s Oesophagus Amongst Non-Expert Endoscopists, BSG 2016
    3. Best Esophageal Presentation for paper: Combined Analysis of Salivary RNA Expression and Demographic, Symptom and Risk Factor Data Can Accurately Predict Those at Risk of Developing or With Esophageal Cancer, BSG 2016
    4. Best Innovative Applications Paper, AAMAS 2016 for paper: Bid2Charge: Market User Interface Design for Electric Vehicle Charging
    5. Outstanding SPC Member, IJCAI 2016, IJCAI 2018

    Before Last Promotion:

    1. Teacher of the Year Award (Martzeh Mitztayen) of the Jerusalem College of Technology (Machon Lev), 2008
    2. Best Paper Award, CIA 2007 for paper: An Architecture for Hybrid P2P Free-Text Search
    3. Nominated for Professor of the Year Award in the Sy Syms School of Business of Yeshiva University, 2001, 2002
    4. Microsoft Academic Cooperative Grant for pioneering innovative software uses on the High School level, 1998-1999

     

    Invited Research Talks (selected):

    Since Last Promotion:

    1. Explainable Machine Learning and the Curse of Dimensionality, Yeshiva University, March 2019
    2. Artificial Intelligence Analysis and Data Mining the Best2 and Boost Datasets, Spit Study Annual Meeting, October 2018
    3. The Curse of Dimensionality and its Relationship to Explainable Medical Systems, Bart’s College, July 2018
    4. Taming the Curse of Dimensionality in Human-Agent and Medical Systems, Kings College, December 2017
    5. The Curse of Dimensionality and its Applicability to Medical Research, UCL, March 2017
    6. Individually and Culturally Aware Agent Systems, University of Southern California, August 2015

    Before Last Promotion:

    1. Understanding the Curse of Dimensionality, TU-Delft, December 2014
    2. Cognitive Models and Agent Systems, York University, November 2014
    3. Bounded Rationality and Multi-Agent Systems, Ben Gurion University of the Negev, May 2014
    4. A Study of Dynamic Coordination Mechanisms, Harvard University, December 2007

     

    Invited Industry Talks / Consultations

    Since Last Promotion:

    1. Stargo Software, 2017-2018
    2. ECI Telecom, June 2018, April 2019
    3. Checkpoint Software, July 2017, May 2018
    4. Mavenir Software, December 2017

     

    Professional Activities (selected):

    Since Last Promotion:

    1. Member of Israel’s Higher Education Counsel (Malag) responsible for defining and judging B.S., M.S. and PhD programs in Data Science (one of four academic representatives and sole representative from the colleges), 2018-present
    2. Member of JCT Senate: 2016-present
    3. Staff Representative of JCT faculty union: 2016-present
    4. Staff Representative of JCT Board of Directors: 2017-present
    5. Treasurer of Israel’s Artificial Intelligence Association (www.iaai.org.il), 2013-2019
    6. Senior Program Member (SPC), IJCAI Conference: 2011, 2013, 2016, 2018-2019
    7. Reviewer of Israel Science Foundation (ISF), 2019.
    8. Reviewer of U.S.-Israel Binational Science Foundation (BSF), 2019, 2015.
    9. Conference Organizer (Publication Chair), HAI 2018
    10. Senior Program Member (SPC), AAMAS: 2014-2018
    11. Reviewer, Intelligent Virtual Agents (IVA): 2018
    12. Organizing Chair of HAIDM Workshop: 2014-2016
    13. Reviewer, Data Mining and Knowledge Discovery (DAMI): 2016-2017
    14. Reviewer, Journal of Data Mining and Knowledge Discovery: 2016-2017
    15. Program Committee Member, COREDEMA 2016, 2017
    16. Guest Editor of JAAMAS Special Issue on Human-Agent Interaction 2014-2015
    17. Conference Organizer, BISFAI 2015

     

    Before Last Promotion:

    1. Program Chair of HAIDM Workshop: 2012-2013
    2. Reviewer, Journal of Intelligent Transportation Systems: 2014-2018
    3. Reviewer, Journal of Artificial Intelligence (JAIR): 2017
    4. Reviewer, Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS): 2013-2015
    5. Program Committee Member, PAIS 2014
    6. Program Committee Member, ECAI 2012
    7. Program Committee Member, AGS Workshop: 2010-2012
    8. Program Committee Member AAAI Conference: 2005-2006, 2013-2014
    9. Program Committee Member, AAMAS Conference: 2005-2009
    10. Program Committee Member, ICRA Conference: 2003

     

    Student Advisement:

    Since Last Promotion:

    1. Roni Reznik, MS. Student with thesis (joint with Dr. Svetlana Bunimovich of Ariel) 2018

    Before Last Promotion:

    1. Sigal Sina, PhD student (joint with Prof. Sarit Kraus of Bar Ilan) 2015
    2. Tamar Machness-Shrot PhD student (joint with Prof. Sarit Kraus of Bar Ilan) 2014
    3. Or Kadrawi MS. Student with Masters Project (joint with Prof. Sarit Kraus of Bar Ilan) 2015
    4. Ron Eyal, MS. Student with thesis (joint with Prof. Sarit Kraus of Bar Ilan) 2014
    5. Eti Cohen MS. Student with Masters Project (joint with Prof. Sarit Kraus of Bar Ilan) 2013

     

    Thesis Review:

    Since Last Promotion:

    1. PhD Proposal Reviewer for Yitzhak Spielberg, Ariel University, 2019
    2. PhD Viva (Reviewer) for Elliot Salisbury, Southampton University, 2017
    3. PhD Thesis Reviewer for Shani Alkoby, Bar Ilan University, 2017
    4. PhD Proposal Reviewer for Hanan Rosemarin, Bar Ilan University, 2016

    Before Last Promotion:

    1. MS Thesis for Litan Ilany, Ben Gurion University, 2014

     

    Publications:

    Overall Summary from Google Scholar (http://scholar.google.co.il/citations?user=-cHvrVgAAAAJ&hl):

     

    Citation indices             All       Since 2014

    Citations                      681      538

    h-index                        17        14

    i10-index                     23        20

     

    Journal Publications

    Since Last Promotion:

    1. Rosenfeld, A. Richardson, Explainability in Human-Agent Systems, accepted to the Journal of Autonomous Agents and Multi-agent Systems JAAMAS, 2019 to appear. (accepted to JAAMAS, Q2).
    2. Sehgal, A. Rosenfeld, D. Graham, R. Bisschops, K. Ragunath, M. Rodriguez-Justo, M. Novelli, M. Banks, R. Haidry, G. Lipman and L. Lovat, Machine Learning Creates a Simple Endoscopic Classification System that Improves Dysplasia Detection in Barrett’s Oesophagus Amongst Non-Expert Endoscopists, accepted to Gastroenterology Research and Practice, (Q2, Impact Factor 1.86).
    3. Rosenfeld, Two Adaptive Communication Methods for Multi-Robot Collision Avoidance, accepted to Robotica 37:5, 851-867 (2019) (Q2, Impact Factor 1.177).
    4. Κatafigiotis, I. Sabler, E. Heifetz, A. Rosenfeld, S. Sfoungaristo, A. Lorber, A. Latke, V. Yutkin, G. Hidas, E. Landau, D. Pode, O. Gofrit and M. Duvdevani, "Stone-less" or Negative Ureteroscopy. A reality in the Endourologic routine or avoidable source of frustration? Estimating the risk Factors for a Negative Ureteroscopy, Journal of Endourology, 32:9, pages 825-830 (Q1, Impact Factor 5.157). [1 citation]
    5. Rosenfeld, S. Sina, D. Sarne, O. Avidov, S. Kraus, A Data Mining Study of WhatsApp Usage Patterns and Prediction Models without Message Content, Demographic Research Journal, 39: 647-670 (2018) (Q1, Impact Factor 1.32). [5 citations]
    6. Rosenfeld, R. Illuz, D. Gottesman, M. Last, Using Discretization for Extending the Set of Predictive Features, EURASIP Journal on Advances in Signal Processing. 2018:7 (Q2, Impact Factor 1.961).
    7. Stein, E. Gerding, A. Nedea, A. Rosenfeld, N. Jennings, Bid2Charge: Market User Interface Design for Electric Vehicle Charging, Journal of Artificial Intelligence Research (JAIR). 59: 175-227 (2017) (Q1, Impact Factor 1.69). [3 citations]
    8. Barrett, A. Rosenfeld, S. Kraus, and P. Stone, Making Friends on the Fly: Cooperating with New Teammates, Artificial Intelligence Journal (AIJ). 242: 132-171 (2017) (Q1, Impact Factor, 3.33). [12 citations]
    9. Azaria, A. Richardson, and A. Rosenfeld, Autonomous Agents and Human Cultures in the Trust-Revenge Game, Journal of Autonomous Agents and Multi-Agent System (JAAMAS) 30(3): 486-505 (2016) (Q2, Impact Factor, 1.25). [4 citations]
    10. D. Ramchurn, A. Rosenfeld, J. E. Fischer, Guest Editorial. Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS) 30(1): 1-3 (2016) (Q2, Impact Factor, 1.25).
    11. Rosenfeld, I. Zuckerman, S. Kraus, E. Segal-Halevi, and O. Drein, NegoChat-A:

    A Chat-Based Negotiation Agent with Bounded Rationality, Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS) 30(1):60-81, 2016 (Q2, Impact Factor, 1.25). [24 citations]

    1. Sina, A. Rosenfeld, and S. Kraus, SAMI: An Algorithm for Solving the Missing Node Problem using Structure and Attribute Information, Social Network Analysis and Mining (SNAM), 5(1):54:1-54:20, 2015 (Q2, SJR 0.48). [1 citation]
    2. Rosenfeld, Z. Bareket, C. Goldman, D. LeBlanc, and O. Tsimoni, Learning Driver’s Behavior to Improve Adaptive Cruise Control, Journal of Intelligent Transportation Systems, 19(1): 18-31, 2015 (Q1, Impact Factor, 1.38). [25 citations]

    Before Last Promotion:

    1. Eyal, A. Rosenfeld, S. Sina, and S. Kraus, Predicting and Identifying Missing Node Information in Social Networks, Transactions of KDD (TKDD), 8(3), 2014 (Q1, Impact Factor, 1.82). [11 citations]
    2. Hadad, S. Kraus, I. Hartman, and A. Rosenfeld, Group Planning with Time Constraints, Journal of Annals of Mathematics and Artificial Intelligence (AMAI), 69(3): 243-291, 2013 (Q2, Impact Factor, 0.69). [9 citations]
    3. Rosenfeld, Algorithm Selection for Constraint Optimization Domains. International Journal of Advanced Computer Science and Applications (IJACSA), 4(2), 2013 (Impact Factor, 1.32).
    4. Rosenfeld, I. Zukerman, A. Azaria, and S. Kraus. Combining Psychological Models with Machine Learning to Better Predict People's Decisions, Synthese: An International Journal for Epistemology, Methodology and Philosophy of Science, 189(1):81-93, 2012 (Q1, Impact Factor, 0.74).
    5. Rosenfeld, Z. Bareket, C. Goldman, S. Kraus, D. LeBlanc, and O. Tsimoni, Towards Adapting Cars to their Drivers, A.I. Magazine, Volume 33(4):46-58, 2012 (Q3, Impact Factor, 0.73).
    6. Rosenfeld and S. Kraus. Modeling Agents Based on Adaptation Aspiration Theory. Journal of Autonomous Agents and Multi-agent Systems (JAAMAS), 24(2):221-254, 2012 (Q2, Impact Factor, 1.21). [28 citations]
    7. Rosenfeld, C. Goldman, G. A. Kaminka, and S. Kraus, PHIRST: A Distributed Architecture for P2P Information Retrieval, Journal of Information Systems (IS), 34(2):290-3003, 2009 (Q1, Impact Factor, 1.46). [9 citations]
    8. Rosenfeld, S. Kraus, and C. Ortiz. Quantifying the Expected Utility of Communicating Constraint Information, Journal of Multiagent and Grid System, 5(4):427-449, 2009 (Q3, Impact Factor, 0.91). [1 citation]
    9. Rosenfeld. A Study of Dynamic Coordination Mechanisms, Knowledge Engineering Review, 24(4):412, 2009 (Q2, Impact Factor, 1.59). [8 citations]
    10. Rosenfeld, G. A. Kaminka, S. Kraus, and O. Shehory. A study of mechanisms for improving robotic group performance, Artificial Intelligence Journal, 172(6-7):633-655, 2008 (Q1, Impact Factor, 3.37). [44 citations]

     

    Journal Papers under Review

     

    Book Chapters

    Since Last Promotion:

    1. Hacohen-Kerner, A. Rosenfeld, A. Sabaga, M. Tzidkani, Topic-based Classification through Unigram Unmasking, Procedia Computer Science, Volume 126, 2018, 69-76.
    2. Zuckerman, E. Segal-Halevi, Rosenfeld, S. Kraus: First Steps in Chat-Based Negotiating Agents. Next Frontier in Agent-Based Complex Automated Negotiation 2015, 89-109. [2 citations]

    Before Last Promotion:

    1. Hadad and A. Rosenfeld. ADAPT: Abstraction Hierarchies to Better Simulate Teamwork under Dynamics In Lecture Notes in Computer Science, 2012, Volume 7471, Agents for Educational Games and Simulations, Springer Press, 2012, 166-182. [1 citation]
    2. Zuckerman, E. Segal-Halevi, A. Rosenfeld, S. Kraus: First Steps in Chat-Based Negotiating Agents. Next Frontier in Agent-Based Complex Automated Negotiation 2015, 89-109.
    3. Rosenfeld, S. Kraus and C. Ortiz. Quantifying the Expected Utility of Information in Multi-Agent Scheduling Tasks, In Lecture Notes in Computer Science, 2007, Volume 4676, Cooperative Information Agents XI, Springer Press, 2007, 104-118.
    4. Rosenfeld, C. Goldman, G. Kaminka and S. Kraus. An Architecture for Hybrid P2P Free-Text Search, In Lecture Notes in Computer Science, 2007, Volume 4676, Cooperative Information Agents XI, Springer Press, 2007, 57-71. [3 citations]
    5. Rosenfeld, G. A. Kaminka, and S. Kraus. Adaptive Robotic Communication Using Coordination Costs. In Distributed Autonomous Robotic Systems 7, Springer Press, 2006, 165-176.
    6. Rosenfeld, G. A. Kaminka, and S. Kraus. A Study of Scalability Properties in Robotic Teams, In Coordination of Large-Scale Mutliagent Systems, Springer Press, 2006, 27-51.

     

    Rigorously Refereed Conference Papers (Qualis rank of A1, ERA rank of A)

    Since Last Promotion:

    1. Stein, E. Gerding, A. Nedea, A. Rosenfeld, N. Jennings, Evaluating Market User Interfaces for Electric Vehicle Charging using Bid2Charge. IJCAI 2017, (Acceptance Rate 25%), 4939-4943.
    2. S. Stein, E. Gerding, A. Nedea, A. Rosenfeld, N. Jennings, Bid2Charge: Market User Interface Design for Electric Vehicle Charging, AAMAS 2016 (Acceptance Rate 25%), 882-890. [4 citations]
    3. Sina, A. Rosenfeld, S. Kraus, and A. Naot, An Hybrid Approach of Classifier and Clustering for Solving the Missing Node Problem, AAAI 2015 (Acceptance Rate 27%), 282-289. [2 citations]
    4. Tran-Thanh, T. Dong Huynh, A. Rosenfeld, S. Ramchurn, and N. Jennings, Crowdsourcing Complex Workflows under Budget Constraints, AAAI 2015 (Acceptance Rate 27%), 1298-1304. [26 citations]
    5. Elmalech, D. Sarne, A. Rosenfeld, and E. Erez, When Suboptimal Rules, AAAI 2015 (Acceptance Rate 27%), 1313-1319. [17 citations]

    Before Last Promotion:

    1. Sina, A. Rosenfeld, and S. Kraus, Generating Content for Serious-Games using Crowdsourcing, AAAI 2014 (Acceptance Rate 28%), 522-529. [17 citations]
    2. Shrot, A. Rosenfeld, J. Golbeck, and S. Kraus, CRISP - A Collaborative Filtering Based Interruption Managing Algorithm, In Proceedings of CHI 2014 (Acceptance Rate 23%), 3035-3044. [16 citations]
    3. Rosenfeld, I. Zuckerman, S. Kraus, E. Segal-Halevi, and O. Drein, NegoChat: A Chat-Based Negotiation Agent, In Proceedings of AAMAS 2014 (Acceptance Rate 24%), 525-532 . [37 citations]
    4. Tran-Thanh, T. Dong Huynh, A. Rosenfeld, S. Ramchurn, and N. Jennings, BudgetFix: Budget Limited Crowdsourcing for Interdependent Task Allocation with Quality Guarantees, In Proceedings of AAMAS 2014 (Acceptance Rate 24%), 477-484. [42 citations]
    5. Sina, A. Rosenfeld, and S. Kraus, Solving the Missing Node Problem using Structure and Attribute Information, In Proceedings of ASONAM 2013 (Acceptance Rate: 13%), 744-751. [5 citations]
    6. Barrett, P. Stone, S. Kraus, and A. Rosenfeld, Teamwork with Limited Knowledge of Teammates, In Proceedings of AAAI 2013 (Acceptance Rate: 29%), 7 pages. [51 citations]
    7. Eyal, S. Kraus, and A. Rosenfeld, Identifying Missing Node Information in Social Networks, AAAI 2011, Special Track on A.I. and the Web, 2011 (Acceptance Rate: 25%), 7 pages. [8 citations]
    8. Rosenfeld, S. Kraus. Using Aspiration Adaptation Theory to Improve Learning. In Proceedings of AAMAS 2011 (Acceptance Rate: 22%), 423-430. [12 citations]
    9. Rosenfeld, S. Kraus. Modeling Agents through Bounded Rationality Theories. In Proceedings of IJCAI, 2009 (Acceptance Rate: 27%), 264-271. [22 citations]
    10. Rosenfeld, G. A. Kaminka, S. Kraus. Adaptive Robot Coordination using Interference Metrics, In Proceedings of the 16th European Conference on Artificial Intelligence, 2004 (Acceptance Rate: 25%), 910-916. [13 citations]

     

    Other Refereed Conference, Symposium and Workshop Publications

    Since Last Promotion:

    1. Richardson, A. Rosenfeld, A Survey of Interpretability and Explainability in Human-Agent Systems, XAI 2018, 7 pages.
    2. A. Rosenfeld, Sina, D. Sarne, O. Avidov, S. Kraus, WhatsApp Usage Patterns and Prediction Models, ICWSM/IUSSP Workshop on Social Media and Demographic Research, 2016, 11 pages. [3 citations]
    3. Rosenfeld, D. Graham, R. Hamoudi, R. Butawan, V. Eneh, S. Khan, H. Miah, M. Niranjan, L. Lovat, MIAT: A Novel Attribute Selection Approach to Better Predict Upper Gastrointestinal Cancer, DSAA 2015, 1-7. [2 citations]
    4. Mell, G. Lucas, J. Gratch and A. Rosenfeld, Saying YES! The Cross-cultural Complexities of Favors, Fairness, and Trust in Negotiation, ACII 2015 (Acceptance Rate 28%), 89-109. [2 citations]

    Before Last Promotion:

    1. Sina, S. Kraus, and A. Rosenfeld, Using the Crowd to Generate Content for Scenario-Based Serious-Games, IDGEI 2014, 8 pages. [3 citations]
    2. Ya'akov (Kobi) Gal, Rosenfeld, Sarit Kraus, Michele Gelfand, Bo An, and Jun Lin, A New Paradigm for the Study of Corruption in Different Cultures, In Proceedings of SBP 2014, 261-268.
    3. Hacohen-Kerner, A. Rosenfeld, M. Tzidkani and D. Nisim, Classifying Papers from Different Computer Science Conferences, In Proceedings of ADMA 2013, 529-541. [5 citations]
    4. Zuckerman, E. Segal-Halevi, S. Kraus, and A. Rosenfeld, Towards Automated Negotiation Agents that use Chat Interfaces, In Proceedings of ACAN 2013, 8 pages. [7 citations]
    5. Azaria, A. Richardson, A. Elmalech, A. Rosenfeld, S. Kraus, and D. Sarne, On Automated Agents Rationality, In Proceedings of HAIDM 2013, 15 pages.
    6. Sina, S. Kraus, and A. Rosenfeld, Social Narrative Adaptation using Crowdsourcing, In Proceedings of CMN 2013, 238-256. [2 citations]
    7. Rosenfeld, Z. Bareket, C. Goldman, S. Kraus, D. LeBlanc, and O. Tsimoni, Learning Driver’s Behavior to Improve the Acceptance of Adaptive Cruise Control, In Proceedings of IAAI 2012, 6 pages. [15 citations]
    8. Rosenfeld, Z. Bareket, C. Goldman, S. Kraus, D. LeBlanc, and O. Tsimoni, Using Driver Type to Better Predict Drivers’ Adaptive Cruise Control Settings, In Proceedings of HAIDM 2012, 8 pages.
    9. Rosenfeld, Z. Bareket, C. Goldman, S. Kraus, D. LeBlanc, and O. Tsimoni, Learning Driver’s Behavior to Improve Adaptive Cruise Control, In Proceedings of ATT 2012, 8 pages.
    10. Barrett, P. Stone, S. Kraus, and A. Rosenfeld, Learning Teammate Models for Ad Hoc Teamwork, In Proceedings of ALA 2012, pages 57-63. [17 citations]
    11. Rosenfeld, A. Levy, and A. Yoskovitz. Accurately Revising Knowledge Based Recommendation Systems, In Proceedings of AAMAS 2011 Workshop on Agent-Mediated Electronic Commerce (AMEC-XIII), May 2011, 57-70. [1 citation]
    12. Machness-Shrot, S. Kraus, and A. Rosenfeld, Fast User Modeling in Interactive Systems. In Proceedings of IAT, 2009, 123-130. (Acceptance Rate: 18%). [3 citations]
    13. Hadad and A. Rosenfeld. ADAPT: Abstraction Hierarchies to Better Simulate Teamwork. In Proceedings of AAMAS-11 Workshop on the Uses of Agents for Education, Games and Simulations (AEGS), 2011, 166-182. [1 citation]
    14. Machness-Shrot, S. Kraus, and A. Rosenfeld, Quickly Learning User Characteristics for Efficient Interruptability in Agent-User Collaborative Systems. In MIMS workshop at AAMAS 2009, 13 pages.
    15. Rosenfeld and S. Kraus, Agents that use Aspiration Adaptation Theory. In IAAI Symposium, Ashkelon Israel, 2008.
    16. Rosenfeld, S. Kraus and C. Ortiz. Quantifying the Expected Utility of Information in Multi-Agent Scheduling Tasks, In Bar-Ilan Symposium on the Foundations of Artificial Intelligence.
    17. Rosenfeld, C. Goldman, G. Kaminka and S. Kraus. An Architecture for Hybrid P2P Free-Text Search, In Bar-Ilan Symposium on the Foundations of Artificial Intelligence, 2007.
    18. Rosenfeld, G. A. Kaminka, S. Kraus. Adaptive Robotic Communication using Coordination Costs for Improved Trajectory Planning. In AAAI Spring Symposium on Distributed Plan and Schedule Management, 2006, 8 pages. [3 citations]
    19. Rosenfeld, G. A. Kaminka, S. Kraus. A Study of Marginal Performance Properties in Robotic Teams. In AAMAS-04 Workshop on Coalition and Teams: Formation and Activity, 2004, 8 pages.
    20. Rosenfeld, G. A. Kaminka, S. Kraus. Adaptive Robot Coordination using Interference Metrics. In Proceedings of AAMAS-04 Workshop on Learning and Evolution, 6 pages.

     

    Posters and Extended Abstracts

    Since Last Promotion:

    1. Lovat, S. Sami, D. Graham, J. Ariza, D. Hagan, F. Ocampo, M. Novelli, M. Rodriguez-Justo, A. Winstanley, E. Heifetz, M. en-Zecharia, U. Noiman, S. Lovat, R. Fitzgerald, P. Sasieni, A. Rosenfeld, A Machine Learning-based Model to Predict the Presence of Barrett’s Oesophagus, to appear in BSG 2019
    2. Carmona, T. Johnson, A. Rosenfeld, M. Eldridge, S. Vowler, A. George, M. Corcoran, J. Burge, S. Stearn, C. Massie, D. Neal, S. Heavey, H. Pye, H. Ahmed, M. Emberton, H. Whitaker, Discovery and validation of a novel fluid biomarker for the diagnosis and risk stratification of prostate cancer, the 2018 Annual Meeting of the American Urological Association Education and Research, 199(4s), p. e1146, 2018.
    3. Graham, S. Khan, V. Sehgal, R. Hamoudi, A. Rosenfeld, and L. Lovat, Combined Analysis of Salivary RNA Expression and Demographic, Symptom and Risk Factor Data Can Accurately Predict Those at Risk of Developing or With Esophageal Cancer, Gastroenterology 150(4):S69-S70, 2016.

    Before Last Promotion:

    1. Sehgal, A. Rosenfeld, D. Graham, M. Banks, R. Haidry, and L. Lovat, Machine Learning Creates a Simple Endoscopic Classification System for Detecting Dysplasia in Barrett’s Oesophagus with I-Scan Imaging and Opens the Way to Standardised Training and Assessment of Competence, Gut, 63:A63-A64, 2014.
    2. Rosenfeld, V. Sehgal, D. Graham, M. Banks, R. Haidry, and L. Lovat, Using Data Mining to Help Detect Dysplasia, SWSTE 2014 (Extended Abstract), 65-66. [5 citations]
    3. Azaria, A. Richardson, A. Elmalech, and A. Rosenfeld, Automated Agents' Behavior in the Trust-Revenge Game in Comparison to Other Cultures (Poster), In Proceedings of AAMAS-2014 (Poster), 1389-1390. [6 citations]
    4. Hadad and A. Rosenfeld, ADAPT: Abstraction Hierarchies to Effectively Implement Teamwork. In Proceedings of AAMAS-2011 (Poster), 1177-1178.
    5. Rosenfeld, G. A. Kaminka, and S. Kraus, Measuring the Cost of Robotic Communication. In Proceedings of IJCAI-05 (Poster), 1734-1735.
    6. Rosenfeld, G. A. Kaminka, and S. Kraus, A Study of Marginal Performance Properties in Robotic Teams. In Proceedings of AAMAS-04 (Poster), 1536-1537. [1 citation]